From aaafa2c4e8da4d0e91bc57a747096f3bec95260e Mon Sep 17 00:00:00 2001
From: "Runtian (Rachel) Li" <115634891+Rachel0619@users.noreply.github.com>
Date: Thu, 5 Jun 2025 03:23:42 +0000
Subject: [PATCH 1/2] Fixes #3044: Fix broken deployment link in Flask REST API
 tutorial

---
 intermediate_source/flask_rest_api_tutorial.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/intermediate_source/flask_rest_api_tutorial.py b/intermediate_source/flask_rest_api_tutorial.py
index 8b0162a9e8..15ff04f757 100644
--- a/intermediate_source/flask_rest_api_tutorial.py
+++ b/intermediate_source/flask_rest_api_tutorial.py
@@ -321,9 +321,9 @@ def get_prediction(image_bytes):
 #   for deploying a Flask server in production.
 #
 # - You can also add a UI by creating a page with a form which takes the image and
-#   displays the prediction. Check out the `demo <https://pytorch-imagenet.herokuapp.com/>`_
-#   of a similar project and its `source code <https://github.com/avinassh/pytorch-flask-api-heroku>`_.
-#
+#   displays the prediction. You can deploy your own demo using this 
+#   `Heroku template <https://dashboard.heroku.com/new?template=https%3A%2F%2Fgithub.com%2Favinassh%2Fpytorch-flask-api-heroku>`_
+#   or check out the `source code <https://github.com/avinassh/pytorch-flask-api-heroku>`_.
 # - In this tutorial, we only showed how to build a service that could return predictions for
 #   a single image at a time. We could modify our service to be able to return predictions for
 #   multiple images at once. In addition, the `service-streamer <https://github.com/ShannonAI/service-streamer>`_

From 01aad7be00fc6da060556db49b15d4b23f1b8587 Mon Sep 17 00:00:00 2001
From: "Runtian (Rachel) Li" <115634891+Rachel0619@users.noreply.github.com>
Date: Thu, 5 Jun 2025 13:13:22 -0700
Subject: [PATCH 2/2] Update intermediate_source/flask_rest_api_tutorial.py

Co-authored-by: Svetlana Karslioglu <svekars@meta.com>
---
 intermediate_source/flask_rest_api_tutorial.py | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/intermediate_source/flask_rest_api_tutorial.py b/intermediate_source/flask_rest_api_tutorial.py
index 15ff04f757..b6b46aed91 100644
--- a/intermediate_source/flask_rest_api_tutorial.py
+++ b/intermediate_source/flask_rest_api_tutorial.py
@@ -321,9 +321,7 @@ def get_prediction(image_bytes):
 #   for deploying a Flask server in production.
 #
 # - You can also add a UI by creating a page with a form which takes the image and
-#   displays the prediction. You can deploy your own demo using this 
-#   `Heroku template <https://dashboard.heroku.com/new?template=https%3A%2F%2Fgithub.com%2Favinassh%2Fpytorch-flask-api-heroku>`_
-#   or check out the `source code <https://github.com/avinassh/pytorch-flask-api-heroku>`_.
+#   displays the prediction. 
 # - In this tutorial, we only showed how to build a service that could return predictions for
 #   a single image at a time. We could modify our service to be able to return predictions for
 #   multiple images at once. In addition, the `service-streamer <https://github.com/ShannonAI/service-streamer>`_